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Ecode – A minimalist and fast open-source code editor

Hacker News

Ecode – A minimalist and fast open-source code editor

Hi HN! I've been working on a code editor and I think that it's mature enough to catch some interest. It's using a custom GPU accelerated GUI written in C++. Currently implements some interesting features: LSP, terminal, auto-completion, linters, formatters, custom keybindings, plugins and more. It's a hobby project but still intends to be an alternative to other popular code editors like Sublime, Kate, Lapce, Lite XL (and takes inspiration from them). The project was born as a playground for the GUI I'm developing (eepp GUI) and is advanced enough to currently be my main code editor, but it's a work in progress, and many features are still pending. Some minor hints on how to use it: Folders are used as project (and .gitignore is used to ignore files) The wheel icon on the top-right has all the options you need (Ctrl/Cmd + M to show). Some keybidings to navigate any project (navigation is keyboard driven): Ctrl/Cmd + K = Locate Files Ctrl/Cmd + Shift + F = Global Search Ctrl/Cmd + Number (Go to tab #)

Visit product View on Hacker NewsJan 10, 2023

Actual performance

233points

92comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code, open · Missing: mac, agents, macos

89%89% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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